罗伊特
逻辑回归
模型
毒物控制
人为因素与人体工程学
伤害预防
运输工程
职业安全与健康
有序逻辑
自杀预防
环境卫生
人口学
计算机安全
工程类
计算机科学
医学
统计
数学
病理
社会学
作者
Sigal Kaplan,Carlo Giacomo Prato
标识
DOI:10.1016/j.jsr.2012.05.003
摘要
Recent years have witnessed a growing interest in improving bus safety operations worldwide. While in the United States buses are considered relatively safe, the number of bus accidents is far from being negligible, triggering the introduction of the Motor-coach Enhanced Safety Act of 2011.The current study investigates the underlying risk factors of bus accident severity in the United States by estimating a generalized ordered logit model. Data for the analysis are retrieved from the General Estimates System (GES) database for the years 2005-2009.Results show that accident severity increases: (i) for young bus drivers under the age of 25; (ii) for drivers beyond the age of 55, and most prominently for drivers over 65 years old; (iii) for female drivers; (iv) for very high (over 65 mph) and very low (under 20 mph) speed limits; (v) at intersections; (vi) because of inattentive and risky driving.
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